Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.
Material type:
TextPublication details: Indianapolis; John Wiley and Sons, 2015.Description: xviii, 410 p. : illustrations (some color) ; 25 cmISBN: - 9781118876138
- Data science and big data analytics
- 006.3/12 23
- QA76.9.D343 D382 2015
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Main Long
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Martin Oduor-Otieno Library This item is located on the library Second Floor | Non-fiction | QA76.9.D343 D382 2015 (Browse shelf(Opens below)) | 30122/19 | Available | MOOL19100156 |
Includes bibliographical references and index.
1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together.
This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.--
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